TL;DR: The Trinity study as discussed by the authors showed that 4% of the portfolio value at the beginning of retirement and subsequently adjusting the withdrawals for inflation, will likely sustain a 30-year retirement in a portfolio comprised of 50-100% stocks and 0-50% bonds.
Abstract: When talking about withdrawal rates in retirement it's hard to ignore the 4% rule. The origin of this rule goes back to the work of Bengen (1994, 1996, 1997, 2001) and Cooley, Hubbard and Walz (1998, 2011), more commonly known as the Trinity Study. The Trinity Study showed that withdrawing 4% of the portfolio value at the beginning of retirement and subsequently adjusting the withdrawals for inflation, will likely sustain a 30-year retirement in a portfolio comprised of 50-100% stocks and 0-50% bonds. This result is relevant to the average retiree with a horizon of only 30 years and not the typical early retiree with a much longer horizon, though. We perform extensive simulations and case studies targeted at early retirees and show that the longer horizon and today's expensive equity valuations will likely necessitate a lower initial withdrawal rate.
TL;DR: Liability-Driven Investing (LDI) as mentioned in this paper improves the approach by seeking instead to maximize return for a given level of volatility of the portfolio surplus, rather than optimizing on the basis of the volatility the assets themselves; by more closely matching assets and liabilities, the sensitivity of the strategy to unexpected returns, risks, and correlations is greatly decreased.
Abstract: To date, the financial literature has focused on very simple algorithms designed to improve the solution to the two-part challenge of determining the optimal portfolio asset allocation strategy and determining the maximum sustainable withdrawal rate for retirees. Most research, for example the well-known “Trinity Study” of Cooley, Hubbard, and Walz, pursues the asset-allocation problem by maximizing long-run asset growth subject to a withdrawal rule and a given acceptable probability of remorse (a.k.a. shortfall). However, the Liability-Driven Investing (LDI) thought process improves the approach by seeking instead to maximize return for a given level of volatility of the portfolio surplus, rather than optimizing on the basis of the volatility the assets themselves; by more closely matching assets and liabilities, the sensitivity of the strategy to unexpected returns, risks, and correlations is greatly decreased. I update the Trinity Study to incorporate inflation-indexed bonds and then illustrate how the LDI thought process may be applied to individual investors and, in particular, athletes.
TL;DR: Liability-Driven Investing (LDI) as discussed by the authors aims to maximize return for a given level of volatility of the portfolio surplus, rather than optimizing on the basis of the volatility the assets themselves; by more closely matching assets and liabilities, the sensitivity of the strategy to unexpected returns, risks, and correlations is greatly decreased.
Abstract: To date, the financial literature has focused on very simple algorithms designed to improve the solution to the two-part challenge of determining the optimal portfolio asset allocation strategy and determining the maximum sustainable withdrawal rate for retirees. Most research, for example the well-known "Trinity Study" of Cooley, Hubbard, and Walz, pursues the asset-allocation problem by maximizing long-run asset growth subject to a withdrawal rule and a given acceptable probability of remorse (a.k.a. shortfall). However, the Liability-Driven Investing (LDI) thought process improves the approach by seeking instead to maximize return for a given level of volatility of the portfolio surplus, rather than optimizing on the basis of the volatility the assets themselves; by more closely matching assets and liabilities, the sensitivity of the strategy to unexpected returns, risks, and correlations is greatly decreased. I update the Trinity Study to incorporate inflation-indexed bonds and then illustrate how the LDI thought process may be applied to individual investors.
TL;DR: In this paper, the gains and incentives for delaying Social Security claiming and then reviewing sample calculations of the PIA are discussed. And background information regarding qualifications for HECMs is discussed.
Abstract: Prior research examining demographic and socioeconomic cohorts within household assets are reviewed. The method used by the Trinity study to determine success rates is discussed. Also, prior research examining withdrawals, retirement length, and assets is reviewed. In addition, background information regarding qualifications for HECMs is discussed. The chapter then focuses on the gains and incentives for delaying Social Security claiming and then reviews sample calculations of the PIA.